21 results about "Multi user interference" patented technology

Disclosed is a method and system for interference control and hybrid beamforming using multi-agent deep reinforcement learning for multiple users. The disclosed method includes performing multi-agent reinforcement learning using interference and antenna gain information that is expected based on a gain table designed using channel state information (CSI) of all user equipments; searching for an analog beamforming matrix pair corresponding to a link that maximizes antenna gain and minimizes interference between user equipments through multi-agent reinforcement learning; applying a signal-to-leakage plus noise ratio (SLNR) maximization technique that minimizes the interference between the user equipments based on the link; and optimizing transmission (Tx) power for each link based on iterative water-filling.

One or more aspects of the present disclosure are directed to techniques for interference cancellation in the present of Multi-User Interference (MUI). In one aspect, a method includes receiving a mixture signal at a receiver, the mixture signal including a first intended signal and at least one interfering signal overlappingly transmitted with the first intended signal; processing the mixture signal to identify the at least one interfering signal, the processing including at least applying an adaptive filtering to a re-modulated version of each of the at least one interfering signal to yield at least one reconstructed interfering signal; and determining the first intended signal using the mixture signal and the at least one reconstructed interfering signal.

The present disclosure relates to a 5G communication system or a 6G communication system for supporting higher data rates beyond a 4G communication system such as long term evolution (LTE). A method of channel estimation includes: receiving, at a first electronic device, a signal from a second electronic device on a channel, the received signal modified by a noise, the channel associated with a channel matrix; obtaining a noisy channel based on the received signal and a least squares estimate of the channel matrix; preprocessing the noisy channel to remove at least one of a timing offset, a multiuser interference, or an intercell interference; inputting the preprocessed noisy channel to a CE model trained to perform CE based on the preprocessed noisy channel, the CE model comprising residual learning networks; and estimating the channel matrix based on denoising of the preprocessed noisy channel.

The invention provides a communication method, user equipment and transmitting / receiving point equipment, and relates to the field of wireless communication. The target user equipment receives indication information sent by one of the multiple transmitting / receiving point equipment, the indication information comprises scheduling information of user equipment which is scheduled jointly on part of or all the transmitting / receiving point equipment of the multiple transmitting / receiving point equipment, and interference processing is carried out according to the indication information. Therefore, in the MU-MIMO system in the Multi-TRP scene, the transmitting / receiving point equipment indicates the multi-user interference information suffered by the user equipment, and the user equipment can better understand the user interference condition on each transmitting / receiving point equipment, so that effective measures are adopted to carry out interference processing, the multi-user interference is reduced to the greatest extent, and the network service quality is improved.

The disclosure relates to a 5G or 6G communication system for supporting a higher data transmission rate. The disclosure provides a method and a device for filtering-based channel estimation. A method comprises configuring a filter design with a stopband region between at least two bandpass regions in a time domain associated with channel behavior, suppressing, via the filter design, multi-user interference (MUI) or orthogonal cover code (OCC) interference in the time domain, and providing frequency domain-based channel estimation (CE) based on the filter design.

This invention belongs to the field of 6G communication technology, specifically relating to an optimization method for a RIS-assisted sensing integrated system based on RSMA. The method includes constructing an RSMA-based RIS-assisted sensing integrated system; under non-negative constraints, constructing a resource optimization problem model with the goal of maximizing system users and speed; decomposing the resource optimization problem model into two sub-problems, and solving them alternately through iteration to obtain an optimized solution. This invention has significant advantages in multi-user interference management, and can improve system communication performance while ensuring system sensing performance.

This invention belongs to the field of wireless communication technology, specifically relating to a joint optimization method for a rotating antenna system with polarization reconfiguration capability. This invention introduces two additional degrees of freedom—three-dimensional mechanical rotation and polarization reconfigurability—at the base station end, and endows the antenna with polarization reconfigurability at the user end, constructing a "space-polarization" joint optimization mechanism to achieve precise matching between beam pointing and transmit / receive polarization states. Under this mechanism, the system can effectively eliminate polarization mismatch losses caused by antenna rotation and channel scattering in complex multipath and multi-user interference environments, thereby significantly reducing base station transmit power and comprehensively improving the system's energy efficiency while ensuring communication quality for all users.

This invention relates to a high-efficiency beamforming precoder design method for RSMA-assisted NF-ISAC systems, belonging to the field of near-field communication and sensing integration technology. It includes constructing an RSMA-assisted integrated communication and sensing system model within the near-field range, establishing a joint optimization problem for beamforming precoder design, communication, and sensing resource allocation with the goal of maximizing system energy efficiency, and iteratively solving the reconstructed problem using Dinkelbach's algorithm and SCA algorithm to obtain the optimal system energy efficiency. This invention effectively suppresses multi-user interference and introduces additional degrees of freedom, significantly improving system performance and maximizing the energy efficiency of NF-ISAC systems under normal conditions. It also rigorously guarantees the QoS performance of communication users and the sensing and detection capabilities of radar targets within the system, providing a new technical solution for energy efficiency optimization of NF-ISAC systems, future green and sustainable communication systems, and robust transmission design.

One or more aspects of the present disclosure are directed to techniques for interference cancellation in the present of Multi-User Interference (MUI). In one aspect, a method includes receiving a mixture signal at a receiver, the mixture signal including a first intended signal and at least one interfering signal overlappingly transmitted with the first intended signal; processing the mixture signal to identify the at least one interfering signal, the processing including at least applying an adaptive filtering to a re-modulated version of each of the at least one interfering signal to yield at least one reconstructed interfering signal; and determining the first intended signal using the mixture signal and the at least one reconstructed interfering signal.

According to the communication resource allocation method and device based on intelligent reflecting surface-user association, in a multi-intelligent reflecting surface and multi-user communication scene, an intelligent reflecting surface-user association allocation matrix is introduced, the matching relation between intelligent reflecting surfaces and users is accurately controlled, the resource utilization rate is maximized, and the user experience is improved. Meanwhile, the influence of multi-user interference in the system is greatly reduced, and reliable support is provided for improving the overall communication performance; according to the intelligent reflecting surface-user joint parameter design method based on the maximum sum rate criterion and the minimum user signal to interference plus noise ratio constraint, a brand new intelligent reflecting surface-user incidence matrix is optimized, and meanwhile, the phase shift of a reflecting unit of the intelligent reflecting surface is adjusted to improve the signal propagation direction; and the transmitting beam forming vector is optimized to enhance the signal gain of the target user, so that the performance of the communication system is comprehensively improved, and the method is particularly suitable for complex scenes of multiple users and large-scale intelligent reflecting surfaces.

This invention discloses a UAV relay trajectory planning method based on hybrid optoelectronic switching, comprising: establishing a free-space optical channel model, focusing on turbulence-induced scintillation and weather-induced attenuation; fusing line-of-sight and non-line-of-sight large-scale fading when constructing the radio frequency channel model, and quantifying downlink multi-user interference; establishing a hybrid obstacle model based on the Ray-AABB algorithm, fusing static ground obstacles and dynamic aerial obstacles, and determining the feasible location set for line-of-sight connections; using a boundary reflection random walk model to describe user movement, defining a dual-parameter update mechanism for velocity and direction and a boundary elastic collision rule; dynamically optimizing user throughput by combining fractional-order power allocation and non-orthogonal multiple access technology; and proposing a deep reinforcement learning framework, using dual deep Q-networks to jointly optimize 3D trajectories, optoelectronic switching, and resource allocation. This invention can effectively address the challenges of low-altitude spectrum denial environments, ensuring the robustness and adaptability of the system.

Systems and methods a system for generating Low-Density Parity-Check (LDPC) code for enabling multiple simultaneous users in Asynchronous Scrambled Coded Multiple Access (ASCMA). The system includes transmitter node with source endpoints, each equipped with an encoder unit generating LDPC codeword bits from information bits. An encoder aggregates LDPC codeword bits with replicated information bits to create an aggregated sequence. A modulator unit modulates the sequence into a waveform for transmission over a shared spectrum access channel. The transmitted waveform is asynchronously sent to a receiver node, which includes a gateway linked to destination endpoints. The receiver unit captures a noise-corrupted version of the waveform, and a decoder unit, using soft-input and soft-output techniques, decodes information bits. A Multi-User Interference (MUI) estimator cancels interference levels, allowing the decoder to recover the original information bits associated with the source endpoints.

The disclosure relates to a 5G or 6G communication system for supporting a higher data transmission rate. The present disclosure relates to a 5th generation (5G) or pre-5G communication system for supporting a higher data transmission rate after a 4th generation (4G) communication system such as long-term evolution (LTE). A method of operating a base station according to various embodiments of the present disclosure may include: receiving channel information from at least one terminal, obtaining channel interference information based on the channel information, obtaining a precoder based on the channel interference information, and transmitting a transmit signal to the at least one terminal based on the precoder, the channel interference information may include timing alignment error (TAE) interference and multi-user interference, and the TAE interference may be determined based on a number of first radio access technology (RAT) symbols and a number of second RAT symbols allocated to the transmit signal.

A method, system and apparatus are disclosed. A system including at least one wireless device and a network node configured to communicate with the at least one wireless device is provided. The network node includes an antenna array including a plurality of antennas. The network node is configured to determine at least one precoding matrix based on a Douglas-Rachford splitting convex optimization model between a per-antenna power constraint and a Multi-User Interference (MUI) requirement for evening the output power of the plurality of antennas of the antenna array. The network node is configured to cause transmission to the at least one wireless device using the antenna array based at least in part on the at least one precoding matrix.

This invention discloses an intelligent cooperative spatial modulation method and system based on GNN-MARL, mainly addressing the antenna resource competition and energy efficiency issues in multi-user spatial modulation systems. The method includes: first, establishing a multi-user interference graph model to abstract the interference relationships between users into a graph structure; second, using a graph attention network for feature extraction and message passing to update the environmental awareness embedding; then, employing multi-agent reinforcement learning, where each user agent independently selects distributed antennas based on local embedding; subsequently, combining Polar code channel coding and CCDM probabilistic shaping techniques to spatially modulate and map information bits for transmission; and finally, performing joint detection and decoding of the signal at the receiving end. This invention not only effectively reduces the large-scale computational complexity of the system but also significantly reduces the antenna collision rate and average transmit power, greatly improving system throughput. For example, in an 8-user scenario, it controls the collision rate to 19.6% and achieves a power saving of 32.8%, providing an efficient and practical innovative solution for intelligent network distributed resource management.

The invention provides an optimization method and device for an integrated perception and communication system, relates to the technical field of communication, and is used for carrying out joint optimization on a signal to interference plus noise ratio and multi-user interference. The method comprises the following steps in each round of optimization iteration for an integrated perception and communication system comprising N reconfigurable intelligent surfaces: taking maximization of a perception signal to interference plus noise ratio and minimization of communication multi-user interference as a joint optimization objective function, and fixing phase shifts of the N reconfigurable intelligent surfaces, optimizing the transmitted waveform to obtain an optimized waveform of the current round; and according to the optimization sequence of the N reconfigurable intelligent surfaces, taking minimization of communication multi-user interference as an optimization objective function, fixing the optimization waveform of the current round and the optimization phase shifts of other reconfigurable intelligent surfaces, and optimizing the phase shift of each reconfigurable intelligent surface in sequence to obtain the optimization phase shift of each reconfigurable intelligent surface of the current round.

The application discloses a high-low speed multi-user access method and system based on cross-domain in an OTFS system, and relates to the technical field of wireless communication, which comprises the following steps: an OFDM sending end carries out first preprocessing on information symbols, and maps the information symbols to a time-delay-Doppler domain and allocates the information symbols to different users; a time-frequency domain conversion scheme is constructed based on the first preprocessing, and multi-user signals are converted from the time-delay-Doppler domain to the time-frequency domain to obtain a time-frequency domain composite signal; an OFDM receiving end receives the time-frequency domain composite signal, recovers the multi-user signals through time-frequency domain demodulation, carries out one-time detection on time-delay-Doppler domain signals of a low-speed sending end to obtain a low-speed signal detection result, carries out two-time detection on the low-speed signal detection result to obtain high-low speed sending end signals, and recovers the high-low speed sending end signals to the time-delay-Doppler domain. The application can effectively avoid multi-user interference, thereby improving the spectral efficiency, and can improve the decoding accuracy of the system according to the processing conditions of a base station on a received complex signal in reality.

This application provides a signal processing method, apparatus, electronic device, and storage medium. The method includes: determining a signal to be processed for a current symbol, wherein the signal to be processed is a superimposed signal under multi-user multiplexing; performing modulation and coding scheme (MCS) detection on the signal to be processed to obtain a target modulation order for multi-user interference; performing demodulation processing on the signal to be processed according to the target modulation order to obtain usable signal components; and calculating the log-likelihood ratio (LLR) on the usable signal components to obtain an LLR result, wherein the LLR result is used to determine the original data corresponding to the signal to be processed. This approach decouples MCS detection and LLR calculation, filters usable signal components, and performs subsequent processing only on the usable signal components, avoiding calculations on the entire signal to be processed, thereby reducing redundant calculations and lowering the power consumption of signal processing.

The application provides a communication method, device and system, and applies to the technical field of communication. The communication method provided by the application can configure a reference signal with zero power in a MU-MIMO system to estimate a multi-user interference level considering precoding. The communication method comprises the following steps: a network device sends first information to a first terminal device, wherein the first information is used to indicate that the power of a first reference signal on a first port at a first time-frequency position is zero. The network device sends second information to a second terminal device, wherein the second information is used to indicate that the power of the first reference signal on a second port at the first time-frequency position is zero; the first port and the second port correspond to a first time-frequency resource.

An electric power emergency communication 5G signal dynamic enhancement method comprises the following steps: acquiring an electric power emergency communication 5G signal uplink signal in real time, establishing a mathematical model of the uplink signal, and deducing downlink channel information; the method comprises the following steps: constructing a complete end-to-end composite channel model, converting a maximum signal-to-noise ratio into a non-convex optimization problem, solving by adopting an iterative method, carrying out gradient calculation, outputting an optimal phase matrix to configure a metasurface, constructing a total power consumption model, defining and simplifying an optimization target, solving optimal amplitude distribution, and outputting a complete active metasurface response matrix; a multi-user communication mathematical model is established, a signal to interference plus noise ratio is calculated, an optimization problem taking system sum rate maximization as a target is defined, and the optimization problem is decomposed into base station precoding optimization and metasurface response optimization for alternate solution until convergence. According to the invention, autonomous real-time acquisition of channel state information, accurate dynamic enhancement of signals and multi-user interference coordination are realized, and the response speed, reliability and overall communication performance of an emergency communication system are improved.

A method of channel estimation includes: receiving, at a first electronic device, a signal from a second electronic device on a channel, the received signal modified by a noise, the channel associated with a channel matrix; obtaining a noisy channel based on the received signal and a least squares estimate of the channel matrix; preprocessing the noisy channel to remove at least one of a timing offset, a multiuser interference, or an intercell interference; inputting the preprocessed noisy channel to a CE model trained to perform CE based on the preprocessed noisy channel, the CE model comprising residual learning networks; and estimating the channel matrix based on denoising of the preprocessed noisy channel.